Normalized scores are statistical values that have been adjusted to a common scale, allowing for comparison across different datasets or scoring systems. This process helps eliminate biases caused by variations in measurement units, providing a clearer understanding of relative performance, especially in contexts like scoring matrices, where various alignments or sequences need to be evaluated uniformly.
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